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objectives: Assess and understand the sources of interpretation variability in conventional online in-situ data collection platforms using automated (eye) tracking techniques. Develop a VR workbench that
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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with access to global networks and resources. Contribute to transformative projects that address pressing global challenges. Have the autonomy to develop your own research portfolio while building a
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these values, with a broad perspective and with an eye for diversity, different backgrounds and opinions, our employees work closely together to solve societal challenges from the dynamic and cosmopolitan city
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the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR Opens external , FAME or QuEUR. - Time and space for your development in the broadest sense: development
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs